AIMC Topic: Aged, 80 and over

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Detection of Pulmonary Nodules on Ultra-low Dose Chest Computed Tomography With Deep-learning Image Reconstruction Algorithm.

Journal of thoracic imaging May 1, 2025
PURPOSE: To evaluate the accuracy of ultra-low dose (ULD) chest computed tomography (CT), with a radiation exposure equivalent to a 2-view chest x-ray, for pulmonary nodule detection using deep learning image reconstruction (DLIR).
Humans Algorithms Prospective Studies Tomography, X-Ray Computed Cross-Sectional Studies Male Middle Aged Lung Deep Learning Female Aged Aged, 80 and over Adult Sensitivity and Specificity Radiation Dosage Radiography, Thoracic Lung Neoplasms Multiple Pulmonary Nodules Solitary Pulmonary Nodule Radiographic Image Interpretation, Computer-Assisted
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Factors influencing short-term and long-term survival rates in stroke patients receiving enteral nutrition: a machine learning approach using MIMIC-IV database.

BMC neurology Apr 30, 2025
PURPOSE: This study aims to evaluate the survival and mortality rates of stroke patients after receiving enteral nutrition, and to explore factors influencing long-term survival. With an aging society, nutritional management of stroke patients has be...
Stroke Kaplan-Meier Estimate Enteral Nutrition Aged Aged, 80 and over Humans Survival Rate Machine Learning Male Databases, Factual Middle Aged Female
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Using Machine Learning to Predict Cognitive Decline in Older Adults From the Chinese Longitudinal Healthy Longevity Survey: Model Development and Validation Study.

JMIR aging Apr 30, 2025
BACKGROUND: Cognitive impairment, indicative of Alzheimer disease and other forms of dementia, significantly deteriorates the quality of life of older adult populations and imposes considerable burdens on families and health care systems worldwide. T...
Aged, 80 and over Male China Cognitive Dysfunction Longitudinal Studies East Asian People Longevity Machine Learning Prospective Studies Biomarkers Female Aged Humans
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Tumor grade-titude: XGBoost radiomics paves the way for RCC classification.

European journal of radiology Apr 29, 2025
This study aimed to develop and evaluate a non-invasive XGBoost-based machine learning model using radiomic features extracted from pre-treatment CT images to differentiate grade 4 renal cell carcinoma (RCC) from lower-grade tumours. A total of 102 R...
Carcinoma, Renal Cell Boosting Machine Learning Algorithms Contrast Media Neoplasm Grading Female Radiographic Image Interpretation, Computer-Assisted Reproducibility of Results Kidney Neoplasms Aged Aged, 80 and over Adult Sensitivity and Specificity Radiomics Male Humans Middle Aged Machine Learning Tomography, X-Ray Computed
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A machine learning tool for prediction of vertebral compression fracture following stereotactic body radiation therapy for spinal metastases.

Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology Apr 29, 2025
BACKGROUND AND PURPOSE: The most common adverse event following spine stereotactic body radiotherapy (SBRT) is vertebral compression fracture (VCF). There is interest in the development of patient-specific tools that can predict those at high risk of...
Humans Machine Learning Retrospective Studies Middle Aged Spinal Neoplasms Female Radiosurgery Spinal Fractures Fractures, Compression Risk Factors Aged Aged, 80 and over Male
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Automated radiography assessment of ankle joint instability using deep learning.

Scientific reports Apr 29, 2025
This study developed and evaluated a deep learning (DL)-based system for automatically measuring talar tilt and anterior talar translation on weight-bearing ankle radiographs, which are key parameters in diagnosing ankle joint instability. The system...
Humans Female Radiography Ankle Joint Male Joint Instability Middle Aged Deep Learning Aged Adolescent Aged, 80 and over Child Young Adult Adult
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Intraocular lens calculation formula developed using artificial intelligence for ultrasonic biometry.

Arquivos brasileiros de oftalmologia Apr 28, 2025
PURPOSE: We developed an artificial intelligence program for calculating intraocular lenses and analyzed its accuracy rate via ultrasonic biometry. This endeavor is aimed at enhancing precision and efficacy in the selection of intraocular lenses, par...
Humans Artificial Intelligence Female Reproducibility of Results Aged Aged, 80 and over Adult Male Middle Aged Refraction, Ocular Lenses, Intraocular Phacoemulsification Biometry Lens Implantation, Intraocular
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Predicting 30-day survival after in-hospital cardiac arrest: a nationwide cohort study using machine learning and SHAP analysis.

BMJ open Apr 27, 2025
OBJECTIVE: In-hospital cardiac arrest (IHCA) presents a critical challenge with low survival rates and limited prediction tools. Despite advances in resuscitation, predicting 30-day survival remains difficult, and current methods lack interpretabilit...
Registries Cardiopulmonary Resuscitation Heart Arrest Male Middle Aged Cohort Studies ROC Curve Humans Machine Learning Female Sweden Aged Aged, 80 and over Survival Rate
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Machine learning for predicting medical outcomes associated with acute lithium poisoning.

Scientific reports Apr 25, 2025
The use of machine learning algorithms and artificial intelligence in medicine has attracted significant interest due to its ability to aid in predicting medical outcomes. This study aimed to evaluate the effectiveness of the random forest algorithm ...
Child Infant Adolescent Lithium Child, Preschool Algorithms Female Infant, Newborn Aged Aged, 80 and over Young Adult Adult Male Middle Aged Humans Machine Learning
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Predicting isolated impaired glucose tolerance without oral glucose tolerance test using machine learning in Chinese Han men.

Frontiers in endocrinology Apr 24, 2025
BACKGROUND: Isolated Impaired Glucose Tolerance (I-IGT) represents a specific prediabetic state that typically requires a standardized oral glucose tolerance test (OGTT) for diagnosis. This study aims to predict glucose tolerance status in Chinese Ha...
Predictive Value of Tests Male Asian People Humans Glucose Tolerance Test Machine Learning Middle Aged Aged China Glucose Intolerance Aged, 80 and over Blood Glucose East Asian People
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